Department of Pharmaceutical Sciences, Faculty of Medicine and Health Sciences, UIN Maulana Malik Ibrahim Malang, East Java, Indonesia.
Department of Medicine, Faculty of Medicine, Universitas Brawijaya, Malang. Indonesia.
Asian Pac J Cancer Prev. 2024 Nov 1;25(11):3831-3840. doi: 10.31557/APJCP.2024.25.11.3831.
This study aims to identify the compounds found in Lansium parasiticum leaf extract (LPLE) and explain its activity in the context of breast cancer prevention and therapy using a pharmacological network approach and its validation in silico to understand the molecular mechanisms involved.
Identification of compounds in LPLE is done using Liquid Chromatography Tandem Mass Spectrophotometry (LC-MS/MS). We also identified absorption and bioavailability profiles using ADMET software. Predictions about the molecular mechanisms of the anti-cancer compounds of LPLE were made through a network pharmacological approach involving devices such as Cytoscape 3.9.1, GeneCards, Disgenet, STRING 2.0.0, the Kyoto Encyclopedia of Genes and Genomes (KEGG) path, and SRplot. Interactions between potential compounds with TP53 receptors were analyzed using site-specific molecular docking, using PyRx Autodock Vina 9.0 and Biovia Discovery Studio.
A total of 24 active compounds were successfully identified through LC-MS/MS. The results of the pharmacological network analysis of these compounds showed that there are four substances that have potential against the potential target gene of breast cancer, namely dihydrotestosterone with 8 target genes, Oxoberberine with 8 targets, Pregnenolone with 1 target gene, and Quercetine with 16 targets. The results of in silico validation revealed that the four compounds showed strong affinity to TP53, even higher than their original ligaments.
The study successfully identified the active compounds in Lansium parasiticum leaf extract (LPLE) that have potential in the prevention and treatment of breast cancer.
本研究旨在通过药理学网络方法,鉴定寄生柿叶提取物(LPLE)中的化合物,并解释其在乳腺癌预防和治疗中的活性,同时通过计算机模拟验证来理解所涉及的分子机制。
采用液相色谱串联质谱法(LC-MS/MS)鉴定 LPLE 中的化合物。我们还使用 ADMET 软件鉴定吸收和生物利用度特征。通过网络药理学方法,使用 Cytoscape 3.9.1、GeneCards、Disgenet、STRING 2.0.0、京都基因与基因组百科全书(KEGG)路径和 SRplot 等工具,对 LPLE 抗癌化合物的分子机制预测进行了研究。使用 PyRx Autodock Vina 9.0 和 Biovia Discovery Studio,对潜在化合物与 TP53 受体之间的相互作用进行了基于位点的分子对接分析。
通过 LC-MS/MS 成功鉴定出 24 种活性化合物。对这些化合物进行药理学网络分析的结果表明,有四种物质对乳腺癌潜在靶基因具有潜在作用,即二氢睾酮有 8 个靶基因,氧化小檗碱有 8 个靶基因,孕烯醇酮有 1 个靶基因,槲皮素有 16 个靶基因。计算机模拟验证的结果表明,这四种化合物与 TP53 具有很强的亲和力,甚至高于其原始配体。
本研究成功鉴定出寄生柿叶提取物(LPLE)中的活性化合物,这些化合物在预防和治疗乳腺癌方面具有潜力。